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Quantitative Assessment of Low-Dose Photodynamic Therapy Effects on Diabetic Wound Healing Using Raman Spectroscopy
Hala Zuhayri1, Alice A Samarinova1, Alexey V Borisov1
1Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Lenin Ave. 36, Tomsk 634050, Russia.
Pharmaceutics
|February 25, 2023
Summary
Low-dose photodynamic therapy (LDPDT) effectively promotes diabetic wound healing in mice. Raman spectroscopy noninvasively assessed healing by analyzing molecular changes in the skin.
Area of Science:
- Biomedical Engineering
- Photomedicine
- Dermatology
Background:
- Diabetic wound healing is a significant clinical challenge due to complex molecular mechanisms.
- Delayed healing in diabetes involves numerous physiological variables.
- Low-dose photodynamic therapy (LDPDT) shows promise for tissue rejuvenation and wound healing.
Purpose of the Study:
- To investigate the efficacy of LDPDT on diabetic wound healing in a mouse model.
- To evaluate the impact of different photosensitizers (5-aminolevulinic acid, methylene blue) and laser doses (1 J/cm², 4 J/cm²).
- To develop a noninvasive method for quantitative assessment of diabetic wound healing using Raman spectroscopy.
Main Methods:
- Utilized LDPDT with two photosensitizers and two laser doses on diabetic mouse wounds.
- Employed Raman spectroscopy (RS) as a noninvasive technique to analyze tissue molecular composition.
- Developed a quantitative assessment approach using principal component analysis and Mahalanobis metrics on skin Raman spectra (Amide I and CH₂ bands).
Main Results:
- LDPDT demonstrated positive effects on diabetic wound healing.
- Raman spectroscopy provided specific molecular and structural information about the tissue state.
- The developed RS-based approach enabled in vivo quantitative assessment of wound healing progression.
Conclusions:
- LDPDT is a promising therapeutic strategy for accelerating diabetic wound healing.
- Raman spectroscopy offers a valuable noninvasive tool for monitoring wound healing.
- Quantitative analysis of Raman spectra can effectively assess the in vivo state of diabetic wound healing.

